Publication Date
In 2025 | 4 |
Since 2024 | 15 |
Since 2021 (last 5 years) | 31 |
Descriptor
Source
Smart Learning Environments | 31 |
Author
Kaplan-Rakowski, Regina | 2 |
Mantri, Archana | 2 |
Singh, Gurjinder | 2 |
Aalya Mesmar | 1 |
Abdulrafi Jaffarul | 1 |
Abed, Mourad | 1 |
Agbo, Friday Joseph | 1 |
Ahmad, Faizan | 1 |
Aizhan Shomotova | 1 |
Ajay Shankar Tiwari | 1 |
Alessandro Visconti | 1 |
More ▼ |
Publication Type
Journal Articles | 31 |
Reports - Research | 28 |
Information Analyses | 5 |
Tests/Questionnaires | 5 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 16 |
Postsecondary Education | 16 |
Secondary Education | 3 |
Elementary Education | 2 |
High Schools | 2 |
Grade 12 | 1 |
Grade 7 | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Two Year Colleges | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Ironsi, Chinaza Solomon – Smart Learning Environments, 2023
There is ongoing scientific discussion on the role of innovative technologies in enhancing teaching and learning. Technologies like augmented reality, virtual reality, mixed reality, artificial intelligence, and generative artificial intelligence have sparked debates in the broader literature. To contribute to ongoing discussions on these topics…
Descriptors: Teachers, Students, Computer Simulation, Speech Skills
Atina Putri; Fahma Waluya Rosmansyah; Chessa Nur Triejunita; Yuda Sukmana; Nyilo Purnami; Sakina Sakina; Yuni Sari Amalia; Yusep Rosmansyah – Smart Learning Environments, 2025
The increasing popularity of mobile devices as alternative tools for learning has led to the adoption of virtual laboratory simulation (VLab) to enhance practical learning experiences. This paper introduces an interactive mobile learning application designed to facilitate medical students in learning ear anatomy using a three-dimensional model.…
Descriptors: Science Laboratories, Anatomy, Science Education, Computer Simulation
Brian Shambare; Thuthukile Jita – Smart Learning Environments, 2025
Teaching in rural schools is frequently marked by challenges ranging from restricted technological infrastructure and geographical remoteness to sparse professional development. Guided by the Unified Theory of Acceptance and Use of Technology (UTAUT), this paper reports findings from a sequential explanatory mixed-methods study that investigated…
Descriptors: Influences, Computer Simulation, Technology Uses in Education, Technology Integration
Yiannis Koumpouros – Smart Learning Environments, 2024
Augmented Reality (AR) technology is one of the latest developments and is receiving ever-increasing attention. Many researches are conducted on an international scale in order to study the effectiveness of its use in education. The purpose of this work was to record the characteristics of AR applications, in order to determine the extent to which…
Descriptors: Computer Simulation, Educational Technology, College Students, Computer Oriented Programs
Ghadah Al Murshidi; Galina Shulgina; Anastasiia Kapuza; Jamie Costley – Smart Learning Environments, 2024
Generative Artificial Intelligence (GAI) holds promise for enhancing the educational experience by providing personalized feedback and interactive simulations. While its integration into classrooms would improve education, concerns about how students may use AI in the class has prompted research on the perceptions related to the intention to…
Descriptors: Artificial Intelligence, Educational Experience, Feedback (Response), Interaction
Ernesto Armando Pacheco-Velázquez; Virginia Rodés-Paragarino; Sergio Augusto Ramírez-Echeverri – Smart Learning Environments, 2025
The article discusses the efficacy of game-based learning (GBL) in logistics education, specifically through an empirical evaluation of the "Logistics Simulator LOST." Recognizing the complexities of evaluating serious games--interactive serious games platforms designed for educational, purpose--the article emphasizes the need for games…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Game Based Learning
Amy Meenaghan; Iris van Sintemaartensdijk – Smart Learning Environments, 2024
XR technology (an umbrella term that incorporates virtual reality (VR), augmented reality (AR), mixed reality (MR), and in some opinions, 360 immersive video) offers considerable potential for supporting learning in the criminal justice sector. The use of XR can allow students and trainees to experience hard-to-reach, risky and dangerous…
Descriptors: Computer Simulation, Video Technology, Technology Uses in Education, Educational Technology
Elmoazen, Ramy; Saqr, Mohammed; Khalil, Mohammad; Wasson, Barbara – Smart Learning Environments, 2023
Remote learning has advanced from the theoretical to the practical sciences with the advent of virtual labs. Although virtual labs allow students to conduct their experiments remotely, it is a challenge to evaluate student progress and collaboration using learning analytics. So far, a study that systematically synthesizes the status of research on…
Descriptors: Learning Analytics, Higher Education, Medical Education, Student Behavior
Fatma Outay; Nafaa Jabeur; Fahmi Bellalouna; Tasnim Al Hamzi – Smart Learning Environments, 2024
To measure the effectiveness of learning activities, intensive research works have focused on the process of competency building through the identification of learning stages as well as the setup of related key performance indictors to measure the attainment of specific learning objectives. To organize the learning activities as per the background…
Descriptors: Competence, Learning Activities, Individual Characteristics, Computer Simulation
Erdogan, Rumeysa; Saglam, Zeynep; Cetintav, Gulay; Karaoglan Yilmaz, Fatma Gizem – Smart Learning Environments, 2023
Like all sectors, the education sector has been negatively affected by the Covid-19 pandemic. Considering the decision to conduct face-to-face training in schools remotely, teachers had many difficulties in moving course content to the online platform. Teachers who perform robotic coding applications are looking for ways to do these activities…
Descriptors: COVID-19, Pandemics, Educational Technology, Online Courses
Meccawy, Maram – Smart Learning Environments, 2023
Recent international empirical studies have demonstrated positive results when applying extended reality (XR) technologies such as augmented reality, virtual reality, or mixed reality in teaching and learning. Thus, the preconditions and challenges of use must be investigated from teachers' perspectives prior to implementing these technologies in…
Descriptors: Computer Simulation, Simulated Environment, Technology Integration, Teacher Attitudes
Ajay Shankar Tiwari; Kaushal Kumar Bhagat; Georgios Lampropoulos – Smart Learning Environments, 2024
Currently, augmented reality (AR) is one of the emerging technologies which is being widely used in the education sector. In engineering drawing, AR has been implemented to enhance learners' spatial ability but not their conceptual knowledge yet. Therefore, this study aims to evaluate the effect of AR on engineering drawing students' learning…
Descriptors: College Freshmen, Engineering Education, Physical Environment, Simulated Environment
Agbo, Friday Joseph; Olaleye, Sunday Adewale; Bower, Matt; Oyelere, Solomon Sunday – Smart Learning Environments, 2023
Researchers are increasingly exploring educational games in immersive virtual reality (IVR) environments to facilitate students' learning experiences. Mainly, the effect of IVR on learning outcomes has been the focus. However, far too little attention has been paid to the influence of game elements and IVR features on learners' perceived…
Descriptors: Student Attitudes, Technology Uses in Education, Cognitive Processes, Teaching Methods
Gurjinder Singh; Faizan Ahmad – Smart Learning Environments, 2024
Augmented reality (AR) stands as a widely embraced technology that significantly enhances learning experiences for students. AR offers an instructional approach supported by technological design, thereby fostering enriched learning interactions. This research proposes an interactive AR framework, intended to create an augmented reality learning…
Descriptors: Electronics, Engineering Education, College Students, Computer Simulation
Raffaele Di Fuccio; Joanna Kic-Drgas; Joanna Wozniak – Smart Learning Environments, 2024
This paper addresses the limited exploration of the impact of virtual and augmented reality on the learning process, particularly within the context of foreign language learning among young learners. Motivated by this research gap, the EULALIA, conducted from 2019 to 2023 (2019-1-IT02-KA203-063228), sought to evaluate the efficacy of integrating…
Descriptors: Computer Simulation, Computer Oriented Programs, Second Language Learning, Cultural Awareness